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» Evaluating Statistical Power Optimization
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BMVC
2002
15 years 12 days ago
Randomized RANSAC with T(d, d) test
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
Jiri Matas, Ondrej Chum
BMCBI
2006
94views more  BMCBI 2006»
14 years 10 months ago
Novel knowledge-based mean force potential at the profile level
Background: The development and testing of functions for the modeling of protein energetics is an important part of current research aimed at understanding protein structure and f...
Qiwen Dong, Xiaolong Wang, Lei Lin
EMSOFT
2004
Springer
15 years 3 months ago
Practical PACE for embedded systems
In current embedded systems, one of the major concerns is energy conservation. The dynamic voltage-scheduling (DVS) framework, which involves dynamically adjusting the voltage and...
Ruibin Xu, Chenhai Xi, Rami G. Melhem, Daniel Moss...
GECCO
2005
Springer
15 years 3 months ago
Using gene deletion and gene duplication in evolution strategies
Self-adaptation of the mutation strengths is a powerful mechanism in evolution strategies (ES), but it can fail. As a consequence premature convergence or ending up in a local opt...
Karlheinz Schmitt
ICPR
2000
IEEE
15 years 2 months ago
Model-Based Halftoning for Color Image Segmentation
Grouping algorithms based on histograms over measured image features have very successfully been applied to textured image segmentation [2, 11, 6]. However, the competing goals of...
Jan Puzicha, Serge Belongie